INTERVIEW

Building better AI models for the railways starts with a solid data foundation

Data (Photo: Shutterstock)
Data (Photo: Shutterstock) Shutterstock

The railway industry is rapidly digitalising and adopting new technologies such as machine learning and artificial intelligence (AI). These new technologies allow for increased overall efficiency in the sector, which is instrumental in reaching sustainability goals in Europe and mitigating the existing strain on the labour force. Dr Igor Dakic, Senior Consultant in Strategic Asset Management at the supplier of engineering, design, and advisory services AFRY, discusses the challenges companies wishing to utilise their data to train AI models for instance, are facing.

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Author: Emma Dailey

Emma Dailey is an editor at RailTech.com and RailTech.be.

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Building better AI models for the railways starts with a solid data foundation | RailTech.com
INTERVIEW

Building better AI models for the railways starts with a solid data foundation

Data (Photo: Shutterstock)
Data (Photo: Shutterstock) Shutterstock

The railway industry is rapidly digitalising and adopting new technologies such as machine learning and artificial intelligence (AI). These new technologies allow for increased overall efficiency in the sector, which is instrumental in reaching sustainability goals in Europe and mitigating the existing strain on the labour force. Dr Igor Dakic, Senior Consultant in Strategic Asset Management at the supplier of engineering, design, and advisory services AFRY, discusses the challenges companies wishing to utilise their data to train AI models for instance, are facing.

Want to read more?

Subscribe now!

Take advantage of our exclusive offer to get full access to all premium content.

See the offer

Author: Emma Dailey

Emma Dailey is an editor at RailTech.com and RailTech.be.

Add your comment

characters remaining.

Log in through one of the following social media partners to comment.